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About

Mingtao Pei is a researcher whose work sits at the intersection of assistive robotics, computer vision, and human-robot interaction. His primary research areas include telepresence systems, intelligent wheelchairs, and video stitching for robotic applications. Pei’s major contributions lie in developing low-cost, accessible telepresence wheelchair systems designed to improve mobility and social interaction for elderly and disabled individuals. His 2016 paper on a low-cost tele-presence wheelchair (12 citations) and its companion work (3 citations) present innovative architectures integrating commercial wheelchairs with telepresence interaction modules. Pei has also made notable advances in multi-camera video stitching for telepresence robots, with papers from 2019 and 2021 (11 and 2 citations) addressing the challenge of combining fisheye and wide-angle lens feeds to provide seamless navigation and communication views. His 2022 work on nonrigid warping for image stitching (6 citations) further refines this capability. Additionally, Pei has explored human motion prediction using key subsequences (2 citations), a task with applications in autonomous driving and human-robot interaction. His research demonstrates a consistent focus on practical, user-centered solutions that enhance robotic perception and accessibility.